由于指纹所具有的唯一性和不变性，以及指纹识别技术具有很高的可行性和实用性，指纹识别成为目前最流行、最可靠的个人身份认证技术之一。



本论文对指纹图像基于小波变换的各种处理进行了分析、总结。图像处理包括基于小波变换的指纹图像滤波处理和基于小波的指纹图像增强处理。同时介绍指纹图像的预处理：目的是去除指纹图像中的噪音，将其转化为一幅清晰的点线图，便于提取正确的指纹特征。它分四步进行，即灰度滤波、二值化、二值去噪、细化。



本文针对基于点模式匹配的指纹匹配算法速度较慢的现状,设计了一种新的指纹匹配方法,即利用纹线匹配技术来寻找基准点对的指纹匹配算法.实验证明,该算法匹配速度很快,误识率低,准确性高,并具有图象旋转平移不变性.对面积适中的指纹图象,匹配结果可以满足在线应用的需要.该算法有望发展成为一种实用、有效的指纹匹配技术.-As the fingerprint has a unique and invariance, as well as fingerprint recognition technology with high feasibility and practicality , fingerprint become the most popular and one of personal identity authentication technology the most reliable.



In this paper, the fingerprint image based on wavelet transform various treatments were analyzed and summarized . Image processing , including fingerprint image filtering and wavelet transform fingerprint image enhancement based on wavelet-based . Also introduced fingerprint image pre-processing : The purpose is to remove the fingerprint image noise , convert it to a sharp point chart, easy to extract the correct fingerprint feature . It is divided into four steps , namely gray filtering , binary , binary de-noising, refined.



In this paper, the status quo based on point pattern matching fingerprint matching algorithm slower , designed a new fingerprint matching method , which uses pattern matching techniques to find the line fingerprint ma